Udemy

Python for Beginners: A Gateway to Machine Learning

Enroll Now
  • 1,402 Students
  • Updated 12/2024
4.9
(13 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 27 Minute(s)
Language
English
Taught by
Yasir Mehmood
Rating
4.9
(13 Ratings)
5 views

Course Overview

Python for Beginners: A Gateway to Machine Learning

Unlock the Power of Python to Explore Machine Learning Concepts by using SK-Learn library

This course is specially designed for students eager to learn the Python programming language and foundational concepts of machine learning . Whether you're a complete beginner or looking to strengthen your programming skills, this course provides a comprehensive introduction to Python and essentials of machine learning , offering practical experience, hands-on coding exercises, and the opportunity to develop a strong foundational understanding of key concepts to advance your learning journey.


What You'll Learn:

Python Programming Basics

  • Overview of Python Programming Language

  • Step-by-step Installation Guide for Beginners

  • Variable Declaration and Type Casting

  • Arithmetic Operations


    String Operations

  • String Formation and Concatenation

  • Paragraph and Substrings

  • Case Conversion

  • Escape Characters

Control Flow: Conditional Statements:

    • If condition ,Elif condition ,Else condition

Data Structures: Python's Core Collection Objects:

    • Lists

    • Tuples

    • Sets

    • Dictionaries

Loops

  • For Loop

  • While Loops

Functions

  • Functions and Arguments

  • Advanced Functionality: Decorators

Object-Oriented Programming (OOP)

  • Classes and Objects

  • Inheritance and Multiple Inheritance

Modularity and Reusability

  • Creating and Using Modules

Machine Learning Essentials

  • Introduction to Machine Learning Concepts

  • Overview of Essential ML Libraries

  • Hands-on Coding Exercise with a Simple Dataset

This course provides a solid foundation in Python programming and a walkthrough of essential machine learning techniques and algorithms, empowering you to start building your own machine learning projects!

Course Content

  • 9 section(s)
  • 28 lecture(s)
  • Section 1 Python Programming Basics
  • Section 2 String Operations
  • Section 3 Control Flow: Conditional Statements
  • Section 4 Data Structures: Python's Core Collection Objects:
  • Section 5 Loops
  • Section 6 Functions
  • Section 7 Object-Oriented Programming (OOP)
  • Section 8 Modularity and Reusability
  • Section 9 Machine Learning Essentials

What You’ll Learn

  • Overview of Python Programming Language
  • Step-by-step Installation Guide for Beginners
  • Variable Declaration and Type Casting
  • Arithmetic Operations
  • String Formation and Concatenation
  • Paragraph and Substrings
  • Case Conversion
  • Escape Characters
  • If condition ,Elif condition ,Else condition
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • For Loop
  • While Loops
  • Functions and Arguments
  • Advanced Functionality: Decorators
  • Classes and Objects
  • Inheritance and Multiple Inheritance
  • Creating and Using Modules
  • Introduction to Machine Learning Concepts
  • Overview of Essential ML Libraries
  • Hands-on Coding Exercise with a Simple Dataset

Reviews

  • T
    Tatiana Moposita Estrella
    5.0

    It was good to start with these topics.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed